[3-5] with research conducted in Scotland and Australia serving as our primaryreferences, and examples from Canada. For instance, the General Teaching Council for Scotland[6] underlines the importance of reflection by providing opportunities for future teachers toreflect on and act to improve their own professional practice. In addition, the Australian Instituteof Teacher and School Leadership [7] requires all ITE programs to implement a teachingperformance assessment that includes a reflection of classroom teaching practice including theelements of planning, teaching, assessing, and reflecting. In Canada, the Association of CanadianDeans of Education’s General Accord [8] strongly emphasizes the importance of reflection inITE programs
learningcommunity (FLC) with a local two-year institution to foster a collaborative community andsupport faculty in adopting APEX materials, which included helping them to consider, plan,apply, and reflect on effective practices for integrating computing into their courses. Buildingupon these pilot efforts, we are actively expanding adoption of the APEX program in severalways. First, we have begun holding summer and winter training workshops for faculty at severaladditional community colleges. Second, we are refining and improving the FLC experience aswe initiate new FLCs with these institutional partners. Finally, we will continue to assess theprogram’s efficacy through a research plan that evaluates student and faculty experiences,allowing us to optimize
Datastorm challenges. We also plan to host annual full-day Datastormevents, which should provide visibility and outreach opportunities to other undergraduate studentsat our institution as well as highlight the relevance of the Computer Science program to thegeneral public.IntroductionComputer Science and computing based majors in general suffer from a variety of issues at theuniversity level.One of those issues is high drop out rates. The level of attrition in Computer Science is reportedto be between 9.8% [1] and 28% [2]. This represents both a direct loss in terms of students notcompleting the major as well as an indirect loss in terms of students not encouraged to pursue itbecause of a perceived difficulty given its high withdrawal rates.Figure
slow its inclusion into this field of study. This paper proposes the Dataying framework to teach data science concepts to young children ages 4–7 years old. The framework development included identifying K–12 data science elements and then validating element suitability for young students. Six cycled steps were identified: identifying a problem, questioning, imagining and planning, collecting, analyzing, and story sharing. This paper also presents examples of data decision problems and demonstrates use of a proposed Insight- Detective method with a plan worksheet for Dataying.IntroductionThe expected growth of data science careers worldwide over the next ten years means thatstudents of all ages
formatted as GoogleColaboratory notebooks that are publicly available on GitHub (Python training for instructors;Biology modules; Statistics modules). APEX biology modules include case studies on sickle cellanemia and breast cancer and three shorter data analysis modules. Eighteen APEX statisticsmodules span topics ranging from data and measurement to sampling and hypothesis testing. Aswe refine and expand our materials, we are also assessing the program’s efficacy by surveyingboth instructors and students. The aim of this work-in-progress paper is to conduct a preliminaryexamination of whether and how student perceptions of interdisciplinary computing change as aresult of engaging with APEX biology and statistics modules.MethodsFaculty who planned
2016, he has been a Visiting Professor with the Mechanical and Aerospace Engineering Department, University of Missouri. Currently, he is As- sociate Professor with the Engineering Department, Colorado State University-Pueblo. He is the author of two book chapters, more than 73 articles. His research interests include artificial intelligence systems and applications, smart material applications, robotics motion, and planning. Also, He is a member of ASME, ASEE, and ASME-ABET PEV. ©American Society for Engineering Education, 2023 Engaging High School Teachers in Artificial Intelligence Concepts and ApplicationsIntroduction and Justification Artificial
materials[5]: 1) a lesson plan for using the Worldin K-12 classrooms or higher education outreach activities, 2) instructions and video clips onhow to download, host, and play the game and how to use the example source code, and 3)source code for creating architecture examples in the World.EvaluationTo investigate the effectiveness of the World on increasing K-12 students' interests incomputing, we first invited three high school students to play a prototype of the Lafayette ParkWorld game and asked for their feedback. After refining it according to their suggestions, weoffered a programming workshop to K-12 students, using the World, and collected survey andinterview data. The workshop was one and a half hours long and was implemented following
coordinator grew to be larger than one person could manageresulting in the position being split. The coordinator was promoted to assistant director, and anoffice support specialist was promoted to coordinator. Under this new administrative hierarchy,the assistant director was charged with focusing on long-term planning, supporting faculty, andcoordinating with units across campus, while the oversight of daily operations became theresponsibility of the coordinator. The CBTF assistant director takes input from an advisorycommittee of faculty and students and also consults with a student committee for feedback.Expanding Testing Capacity The CBTF is one of the most heavily utilized spaces on campusand we regularly receive inquiries from courses
students withmathematical concepts necessary to learning spatial transformations and allied mathematicalrepresentations. The project will also provide the foundation for planned further research addinga language-processing component to an AI for high school students, which would be trained on alarge dataset of common high school math topics and language used by students. To ensurerigorous evaluation of the project, the research team will anticipate confounding factors so as tominimize their effects, and two learning conditions (AI-powered and non-AI) will be employedand compared with the same essential visualization and functional manipulation, thus advancinginstruction that applies across multiple STEM disciplines. The project will create a
think this class is goingto be boring”, ”I think this class is going to be enjoyable”, ”I think that I am going to bepretty good at this class”, ”This is a class that I cannot do very well in”.Value was measured in Survey 1. It is a measure based on participants’ intrinsic motivationdesigned based on self-determination theory [1]. It focuses on the aspect of motivation thatcomes from the importance and effort that they attribute to this class. Students respond ona 5 point Likert scale of “Strongly agree” to “Strongly Disagree” to the following questionsand the measure corresponds to the average of the answers. ”I plan to put a lot of effortinto this class”, ”It is important to me to do well in this class”, ”I believe this class couldbe of some
fl fl fl flcan leave a lot of problem-solving to be completed in the coding phase where a participant mayneed more time to complete the project or run into unanticipated problems.3.4 Design Cohesion and Granularity LevelAfter applying the alignment notation to each of the exercise samples we determined that DesignCohesion could be classified as low, medium, or high. A low level of design cohesion canindicate a low level of metacognition and ability to plan prior to implementing a programmingsolution. It may also represent a lack of attention to the planning phase, where a
, where he also served as the Dean of the College of Electrical Engineering and Computer Science from 2007 to 2009. Currently, he is the president of Tainan National University of the Arts. He has published more than 270 articles related to parallel computer systems, interconnection networks, path planning, electronic design automation, and VLSI systems design in journals, conference proceedings, and books.Prof. Zhuming Bi, Purdue University, Fort Wayne Zhuming Bi (Senior Member, IEEE) received the Ph.D. degree from the Harbin Institute of Technology, Harbin, China, in 1994, and the Ph.D. degree from the University of Saskatchewan, Saskatoon, SK, Canada, in 2002. He has international work experience in Mainland China
this study were these students’ plan of preparation to practice fortechnical interviews, and whether anxiety played an integral role during their participation fortechnical interviews. From this work, it was found that anxiety was an underlying factor thatcould determine a student’s overall performance in an interview. It was also concluded that asstudents become more exposed to technical interview practices their anxiety decreases, while inturn their overall performance increases.3. MethodThe objective of the interactive whiteboard problem solving study is to examine the students’ability to conduct critical thinking, verbally communicate their ideas, and create solutions to agiven problem. So far, this assessment has been conducted over a
studies should be done to compare students’ performanceduring several semesters with and without the use of GAI tools, particularly isolating differentcourse assessment components where the student’s performance metrics were most influenced byGAI use. Also, as ethical concerns surrounding GAI persist, future studies should delve deeperinto the issues of AI-assisted plagiarism, algorithmic bias, transparency, equity, data privacy, andsecurity in engineering education learning and instruction.References[1] “What is Instructional Design? | ATD.” Accessed: Jan. 18, 2024. [Online]. Available: https://www.td.org/talent-development-glossary-terms/what-is-instructional-design[2] “MagicSchool.ai - AI for teachers - lesson planning and more!” Accessed
First-Year Programs (FPD) and Computers in Education (CoED) divisions, and with the Ad Hoc Committee on Interdivisional Cooperation, Interdivisional Town Hall Planning Committee, ASEE Active, and the Commission on Diversity, Equity, and Inclusion. Estell has received multiple ASEE Annual Conference Best Paper awards from the Computers in Education, First-Year Programs, and Design in Engineering Education Divisions. He has also been recognized by ASEE as the recipient of the 2005 Merl K. Miller Award and by the Kern Entrepreneurial Engineering Network (KEEN) with the 2018 ASEE Best Card Award. Estell received the First-Year Programs Division’s Distinguished Service Award in 2019 and the 2022 Computers in Education
tounderfunded schools to raise the bar for all) makes it difficult to properly set policies. In theirblog, they close by saying “This is why we advocate the dual aspirations of raising the bar andclosing the gaps” [4].In the CS Education community, we need more resources to help teach the students the differencebetween equity and equality. A lesson plan [6] by Just Health Action helps participantsunderstand the difference between equity and equality. This is based on work done by EquityMatters3 , a Seattle, Washington-based women of color consulting team. We encourage thecommunity to create more lesson plans like this one, where we can further explore the distinctionbetween equity and equality in ways that are specific to our field. Others in CS are
anonymity [8]. However, thereare no tools, to the best of our knowledge, that can allow anonymous grading for in-class paperexams and quizzes which form a majority of exams on campus.Approach and Plan of WorkOur proposed work has three distinct components listed below.● Development of a mobile system that helps instructors perform anonymous grading for paper exams● Data collection in courses and statistical analysis to understand grade differences using anonymous and non-anonymous grading.● Self-reporting data collection to understand the student and faculty perspective on anonymous grading.Mobile system that helps instructors perform anonymous gradingThe proposed workflow for the mobile application of anonymous grading is shown in figure 1
(1994) usability inspection methods, usability testing will be done throughfocus groups to explore participants’ perceptions of the user interface design, identify designproblems, and uncover areas to improve the user interface and user experience in Ecampus andhybrid courses (RQ1). A heuristics evaluation [16, 17] of the user interface will be conducted toensure that usability principles are followed to provide a user interface with inclusivity andaccessibility (RQ2). A Likert scale will be adapted from Bandura’s (1989) MultidimensionalScales of Perceived Self-Efficacy [18] to explore participants' self-regulatory efficacy (RQ3).Planned InterventionThe proposed study will combine elements of both exploratory and quasi-experimental
positive effect in solving puzzles in the pirate game.4 DiscussionWe have presented the design of two games that have found success in the classroom to helpunderstand university level linear algebra curriculum. The games were designed to work with anexisting inquiry oriented curriculum and demonstrated that games can be successfully integratedwith inquiry oriented pedagogy. In the next steps we plan to run a mixed-methods basedproficiency measuring study that looks at students of linear algebra from multiple demographics(novice/experienced; undergraduates/pre-service teachers) and collect data on decision choicesmade in both the bunny and pirate games. We are particularly interested in learning how thedecisions evolve with game repetition and if
tasks. It “involves solving problems,designing systems, and understanding human behavior” [3], all part of daily routine like trying tofigure out how to dress up or what to do when the water pipe in the bathroom breaks. Theseexamples involve identifying the problem and thinking of the best possible solution, breaking theoriginal problem into smaller tasks, reformulating the problem in a way it reminds us ofsomething we are familiar with, planning, learning, and developing an action plan in the presenceof uncertainty [3].Wing [4] comments that one of the most important aspects of CT is the concept of abstraction todefine patterns previously identified, generalize, and do a parametrization. The capacity toabstract is precisely what will allow
. This study showed apotential for black women to effectively identify with CS. One reason could be due to the natureof CS and the variety of spaces it provides to accommodate one’s interest. Moreover,establishing settings in CS that foster the equity and inclusion of black women may be vital toimprove representation. Aforementioned, support systems and mentorship opportunities couldassist in this effort, which could promote increased representation of black women inadministrative, managerial, and related positions of leadership in CS that could further motivateyounger black women to aspire to pursue careers in this field.To expand upon this study, it is the plan to explore specific problems and hurdles that racial,institutional, educational
, both instructorswill be teaching CSC 101 Introduction to Computing. They will follow the same teaching plan andshare lecture materials to minimize differences. They met weekly during the preparation of thematerials and will meet weekly throughout the semester of implementation. Both instructors utilizean assignment system to assign the same questions to students in each course section. Allassessments are shared among the faculty group. Additionally, based on student feedback receivedweekly, the instructors will adjust their lesson plans accordingly.Different Students. Each class does not contain the same number of students, the same majors, andthe same academic preparedness and exposure to computer science. These uncontrolled variablesmay
interpretations, we propose conducting a qualitative study byinterviewing students. We plan to couple current exploratory study with performance data andsubmitted queries to more strongly identify successful problem-solving patterns and groups ofstudents in need of support. Ultimately, we aim to develop an automated analysis tool forinstructors to identify students who may require help during lecture sessions or collaborativeassignments, as some students who would benefit from help may feel shy from seeking it.ConclusionsOur study seeks to address the lack of knowledge about student group problem-solving behaviorsin a collaborative learning setting and assist instructors in understanding the temporal patterns instudent group submission sequences
orecosystems against equity outcomes across all four components [8]. Blikstein and Moghadamdefined Capacity as the ”implementation considerations” related to ”systemic obstacles” asmechanisms for equitable CS education [18]. Research focusing on Capacity has found thatGransbury, Heckman, McGill, DeLyser, Rosato ASEE 2024district leaders have not had the training to define CS and sometimes have difficultyconceptualizing how broadening participation in computing and equity fit into their district plans[19]. The literature focused on capacity continues to grow to address the systemic barriers thataffect education outcomes of historically marginalized populations in CS [20, 21].The second component in CAPE
have proven to be groundbreaking and successful. One of her proudest accomplishments was receiving FIRST Robotics Competition volunteer of the year award for being a judge, judge advisor, and chair of regional and district planning committees for over a decade. This is second only to serving as co-leader of her daughter’s Girl Scout troop and then mentoring those same girls on the Gamer Girlz FIRST Lego League and VEX robotics team. Through her innovative work in engineering education and STEM outreach, she has appeared in several print and digital media including Forbes, Black Enterprise, New York Times, and CBS News. She has also been recognized with several national awards including the American Society of
encourage students to stay on track with course content is to provide frequent andstrict deadlines for homework or other type of formative assessments, which are often completedasynchronously outside of class time. Check-in dates help students break complex processes intomanageable chunks as they plan and progress through course goals, and final deadlines can helpthem organize and prioritize work and avoid the anxiety of missed work piling up at the end of theterm. Moreover, Felker at al. [9] suggest that giving extra credit for completing assignments earlycan be effective at encouraging students to have better work distribution. However, it is knownthat strict deadline policies may add to students’ stress [10, 11], promote the submission of